T Matsushima

212 total papers · 1.3k total citations
99 papers, 897 citations indexed

About

T Matsushima is a scholar working on Epidemiology, Surgery and Obstetrics and Gynecology. According to data from OpenAlex, T Matsushima has authored 99 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 18 papers in Surgery and 18 papers in Obstetrics and Gynecology. Recurrent topics in T Matsushima's work include Hepatitis C virus research (14 papers), Uterine Myomas and Treatments (9 papers) and Liver Disease Diagnosis and Treatment (8 papers). T Matsushima is often cited by papers focused on Hepatitis C virus research (14 papers), Uterine Myomas and Treatments (9 papers) and Liver Disease Diagnosis and Treatment (8 papers). T Matsushima collaborates with scholars based in Japan, United States and Australia. T Matsushima's co-authors include Toshiyuki Takeshita, Hirobumi Asakura, Koichi Yoneyama, Shigeo Akira, Yoshiyasu Karino, Atsuhiro Sakamoto, Kenji Yokoyama, Manzo Suzuki, Yoichi Shimada and Jouji Toyota and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, PLoS Medicine and Thorax.

In The Last Decade

T Matsushima

90 papers receiving 858 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T Matsushima 216 174 151 142 124 99 897
Levent Doğanay 390 1.8× 166 1.0× 107 0.7× 102 0.7× 169 1.4× 62 943
Segundo Morán 188 0.9× 157 0.9× 424 2.8× 27 0.2× 72 0.6× 56 1.0k
Yali Liu 343 1.6× 246 1.4× 139 0.9× 42 0.3× 255 2.1× 69 956
Çiğdem Tokyol 78 0.4× 33 0.2× 262 1.7× 61 0.4× 90 0.7× 57 726
William Simpson 71 0.3× 25 0.1× 178 1.2× 123 0.9× 213 1.7× 56 869
O. Kurauchi 104 0.5× 67 0.4× 107 0.7× 369 2.6× 174 1.4× 77 962
Omar Féres 110 0.5× 35 0.2× 297 2.0× 51 0.4× 124 1.0× 109 838
Şebnem Gürsoy 308 1.4× 138 0.8× 160 1.1× 18 0.1× 110 0.9× 52 770
Ömer Özbakır 307 1.4× 130 0.7× 185 1.2× 18 0.1× 119 1.0× 44 894
Hyun Jeong Kim 108 0.5× 31 0.2× 103 0.7× 81 0.6× 146 1.2× 50 795

Countries citing papers authored by T Matsushima

Since Specialization
Citations

This map shows the geographic impact of T Matsushima's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T Matsushima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Matsushima more than expected).

Fields of papers citing papers by T Matsushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T Matsushima. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T Matsushima. The network helps show where T Matsushima may publish in the future.

Co-authorship network of co-authors of T Matsushima

This figure shows the co-authorship network connecting the top 25 collaborators of T Matsushima. A scholar is included among the top collaborators of T Matsushima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T Matsushima. T Matsushima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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